How should we measure SES for research students?

Last week the Department of Education issued a report on equity students enrolled in research higher degree programs. As those who have read my work over the years know, I think we have significant conceptual and empirical problems in measuring socioeconomic status in higher education. And these are even more significant for higher degree students than they are for undergraduates.

What this means is that even though the report’s overall conclusion, that high SES students are ‘over-represented’ in research degrees, must be true based on other empirical evidence and theory, its statement that ‘this data should … be used with caution’ is a warning that should be heeded.

Problem One: We are only using a geographic proxy indicator for SES, the ABS Index of Education and Occupation. A person is classified as low SES if they live in an area in which the population has relatively low levels of education and relatively high levels of people who are unemployed or work in lower-skill occupations.  But people with high levels of education and with high skill jobs live in otherwise low SES areas, and vice-versa.

Problem Two: We define as low SES people living in the lowest 25 per cent of areas by the Index of Education and Occupation. That is too small a share – the next quartile up is sociologically similar.

Problem Three: For research students, are we interested in their current socioeconomic status or their background? Regardless of their background, if they already have a degree (which they almost certainly do if they are in a research degree) and work in a professional job, as is quite likely to to be the case, then they are not going to be classed as low SES by the standard bureaucratic measures. And if they have moved to study and/or to be closer to professional job markets, then they will probably live in high SES areas.Read More »

Teaching public funding is skewed to STEM and health-related courses

With the government now publishing data on students by funding cluster we can get a clearer idea of where Commonwealth Grant Scheme money goes.

My calculations are for 2018, and based on multiplying equivalent full-time student numbers in Commonwealth supported places by the relevant funding cluster rate. Due to the demand driven funding freeze and some universities over-enrolling allocated places the overall total exceeds what universities were actually paid. However, as it is usually not possible to specifically identify ‘over-enrolled’ students I am going to assume that this does not affect relativities between the clusters.

As the chart below shows the science, engineering and surveying funding cluster is by far the biggest recipient of Commonwealth funds, at $1.8 billion in 2018 (and this is missing the maths and statistics buried in another cluster). The health-related clusters between them received $1.6 billion, and this is also an under-count due to some health courses being in other clusters.

funding cluster spend 2018 (all)

As is the case with public research spending, public tuition subsidies are skewed to STEM and health clusters. They have 32 per cent of EFTSL but 48 per cent of funding. The humanities, which are the subject of much of the controversy around higher education, received the least money of any cluster, $151 million in 2018. This is 2.1 per cent of the total.

However, it should be noted that other subjects typically taught in Arts faculties are in other funding clusters. For example, fields such as politics and sociology are in the second largest funding cluster by dollars (which also includes psychology, social work, and similar fields) and in the fourth largest funding cluster by dollars, which includes foreign languages and media and communications, which despite a recent downward trend has grown significantly over the last decade.

(Last paragraph added after original publication after Twitter commentary.)

How much did the demand driven funding freeze save the government in 2018 (and cost the unis)?

When the funding freeze on university bachelor-degree places was announced in December 2017 there were some big claims made about both how much it would cost the universities and save the government.

But at least in its first year, 2018, its effects were probably smaller than many people (myself included) expected.

I have to first put some caveats around my data, because I am trying to reconstruct what went on from multiple sources. As is often the case, there are discrepancies between the sources on what should be the same number,  such as equivalent full-time student load (EFTSL) or money paid. The main reason for this is that they are revised during the year in question and afterwards. Read More »

Universities with good performance may still miss out on performance funding

Last week the government released more detail about how its university performance funding scheme is to work (in the same week that the re-badged Department of Education, Skills and Employment’s administrative arrangements, showing some very dry bureaucratic humour, listed as one its responsibilities ‘reducing the burden of government regulation’).

Last week’s document confirms that the legal basis of performance funding will change from 2021. As I pointed out last year, at the moment there is performance funding but no performance fund. For 2020, all the government offers is to pay universities a bit more of their demand driven funding entitlements.

If a university’s demand driven entitlements (bachelor-degree EFTSL * the relevant funding cluster rates) don’t reach the performance funding maximum grant (2017 demand driven funding + special deals done since + population-growth based performance-contingent increment) it will not get the performance funding, or will get only part of it. Read More »